Sparse signals recovered by non-convex penalty in quasi-linear systems

The goal of compressed sensing is to reconstruct a sparse signal under a few linear measurements far less than the dimension of the ambient space of the signal. However, many real-life applications in physics and biomedical sciences carry some strongly nonlinear structures, and the linear model is n...

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Bibliographic Details

Published in:	Journal of inequalities and applications Vol. 2018; no. 1; pp. 59 - 11
Main Authors:	Cui, Angang, Li, Haiyang, Wen, Meng, Peng, Jigen
Format:	Journal Article
Language:	English
Published:	Cham Springer International Publishing 2018 SpringerOpen
Subjects:	Analysis Applications of Mathematics Compressed sensing Iterative thresholding algorithm Mathematics Mathematics and Statistics Non-convex fraction function Quasi-linear 93C10 Non-convex fraction function 34A34 78M50 Quasi-linear Iterative thresholding algorithm Compressed sensing
ISSN:	1029-242X, 1025-5834, 1029-242X
Online Access:	Get full text
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